These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1211 related articles for article (PubMed ID: 31931874)

  • 1. Development and validation of a nomogram based on CT images and 3D texture analysis for preoperative prediction of the malignant potential in gastrointestinal stromal tumors.
    Ren C; Wang S; Zhang S
    Cancer Imaging; 2020 Jan; 20(1):5. PubMed ID: 31931874
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Development and validation of a CT-texture analysis nomogram for preoperatively differentiating thymic epithelial tumor histologic subtypes.
    Ren C; Li M; Zhang Y; Zhang S
    Cancer Imaging; 2020 Dec; 20(1):86. PubMed ID: 33308325
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Radiomics nomogram for predicting the malignant potential of gastrointestinal stromal tumours preoperatively.
    Chen T; Ning Z; Xu L; Feng X; Han S; Roth HR; Xiong W; Zhao X; Hu Y; Liu H; Yu J; Zhang Y; Li Y; Xu Y; Mori K; Li G
    Eur Radiol; 2019 Mar; 29(3):1074-1082. PubMed ID: 30116959
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Development and validation of an EUS-based nomogram for prediction of the malignant potential in gastrointestinal stromal tumors.
    Liu L; Chen J; Shan J; Sun X
    Scand J Gastroenterol; 2023 Jul; 58(7):830-837. PubMed ID: 36740838
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Predictive Value of a Radiomics Nomogram Model Based on Contrast-Enhanced Computed Tomography for KIT Exon 9 Gene Mutation in Gastrointestinal Stromal Tumors.
    Wei Y; Lu Z; Ren Y
    Technol Cancer Res Treat; 2023; 22():15330338231181260. PubMed ID: 37296525
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Radiomics Nomogram Based on Contrast-enhanced CT to Predict the Malignant Potential of Gastrointestinal Stromal Tumor: A Two-center Study.
    Song Y; Li J; Wang H; Liu B; Yuan C; Liu H; Zheng Z; Min F; Li Y
    Acad Radiol; 2022 Jun; 29(6):806-816. PubMed ID: 34238656
    [TBL] [Abstract][Full Text] [Related]  

  • 7. MRI Texture-Based Models for Predicting Mitotic Index and Risk Classification of Gastrointestinal Stromal Tumors.
    Yang L; Zheng T; Dong Y; Wang Z; Liu D; Du J; Wu S; Shi Q; Liu L
    J Magn Reson Imaging; 2021 Apr; 53(4):1054-1065. PubMed ID: 33037745
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Combined model based on enhanced CT texture features in liver metastasis prediction of high-risk gastrointestinal stromal tumors.
    Zheng J; Xia Y; Xu A; Weng X; Wang X; Jiang H; Li Q; Li F
    Abdom Radiol (NY); 2022 Jan; 47(1):85-93. PubMed ID: 34705087
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Application Values of 2D and 3D Radiomics Models Based on CT Plain Scan in Differentiating Benign from Malignant Ovarian Tumors.
    Li S; Liu J; Xiong Y; Han Y; Pang P; Luo P; Fan B
    Biomed Res Int; 2022; 2022():5952296. PubMed ID: 35224097
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A CT-based nomogram for predicting the malignant potential of primary gastric gastrointestinal stromal tumors preoperatively.
    Li C; Fu W; Huang L; Chen Y; Xiang P; Guan J; Sun C
    Abdom Radiol (NY); 2021 Jul; 46(7):3075-3085. PubMed ID: 33713161
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Value of radiomics model based on enhanced computed tomography in risk grade prediction of gastrointestinal stromal tumors.
    Chu H; Pang P; He J; Zhang D; Zhang M; Qiu Y; Li X; Lei P; Fan B; Xu R
    Sci Rep; 2021 Jun; 11(1):12009. PubMed ID: 34103619
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development and validation of a radiomics nomogram for identifying invasiveness of pulmonary adenocarcinomas appearing as subcentimeter ground-glass opacity nodules.
    Zhao W; Xu Y; Yang Z; Sun Y; Li C; Jin L; Gao P; He W; Wang P; Shi H; Hua Y; Li M
    Eur J Radiol; 2019 Mar; 112():161-168. PubMed ID: 30777206
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A radiomics nomogram for the prediction of overall survival in patients with hepatocellular carcinoma after hepatectomy.
    Liu Q; Li J; Liu F; Yang W; Ding J; Chen W; Wei Y; Li B; Zheng L
    Cancer Imaging; 2020 Nov; 20(1):82. PubMed ID: 33198809
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Development and validation of a prognostic nomogram to predict recurrence in high-risk gastrointestinal stromal tumour: A retrospective analysis of two independent cohorts.
    Lin Y; Wang M; Jia J; Wan W; Wang T; Yang W; Li C; Chen X; Cao H; Zhang P; Tao K
    EBioMedicine; 2020 Oct; 60():103016. PubMed ID: 32980695
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Development and validation of a preoperative risk nomogram prediction model for gastric gastrointestinal stromal tumors.
    Liu Z; Gao J; Zeng C; Chen Y
    Surg Endosc; 2024 Apr; 38(4):1933-1943. PubMed ID: 38334780
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Personalized CT-based radiomics nomogram preoperative predicting Ki-67 expression in gastrointestinal stromal tumors: a multicenter development and validation cohort.
    Zhang QW; Gao YJ; Zhang RY; Zhou XX; Chen SL; Zhang Y; Liu Q; Xu JR; Ge ZZ
    Clin Transl Med; 2020 Jan; 9(1):12. PubMed ID: 32006200
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Development and validation of a radiomics-based nomogram for the preoperative prediction of microsatellite instability in colorectal cancer.
    Ying M; Pan J; Lu G; Zhou S; Fu J; Wang Q; Wang L; Hu B; Wei Y; Shen J
    BMC Cancer; 2022 May; 22(1):524. PubMed ID: 35534797
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A novel nomogram for predicting liver metastasis in patients with gastrointestinal stromal tumor: a SEER-based study.
    Zhou G; Xiao K; Gong G; Wu J; Zhang Y; Liu X; Jiang Z; Ma C
    BMC Surg; 2020 Nov; 20(1):298. PubMed ID: 33238982
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Application of radiomics in predicting the preoperative risk stratification of gastric stromal tumors.
    Yang L; Ma CF; Li Y; Zhang CR; Ren JL; Shi GF
    Diagn Interv Radiol; 2022 Nov; 28(6):532-539. PubMed ID: 36550752
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Development of a Malignancy Potential Binary Prediction Model Based on Deep Learning for the Mitotic Count of Local Primary Gastrointestinal Stromal Tumors.
    Yang J; Chen Z; Liu W; Wang X; Ma S; Jin F; Wang X
    Korean J Radiol; 2021 Mar; 22(3):344-353. PubMed ID: 33169545
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 61.